We focus on delivering Python- & Open Source-based financial analytics solutions.
Experience a new level of productivity and a new approach to collaboration in financial analytics. The platform offers eg Jupyter Notebooks, full browser-based shell acess, GUI-based filemanagement, project/file sharing & publishing. Free trials under http://trial.quant-platform.com.
Completely modular and object-oriented open source library to model, manage, price and risk manage complex portfolios of (multi-risk) derivatives with potentially complex correlations structures. Optimize portfolios, value interest swaps and more. Visit http://dx-analytics.com.
Yves Hilpisch, Managing Partner of The Python Quants, has written three books on the use of Python in Quant Finance. The first is Python for Finance (O'Reilly, 2014). The second is Derivatives Analytics with Python (Wiley Finance, 2015). The third is Listed Volatility & Variance Derivatives (Wiley Finance, forthcoming).
We help you in any way to start using Python for Quant Finance, to solve specific problems or to conduct ambitious, path-breaking projects. Be it with consulting, development or training. We help you transition from eg Matlab & streamline your analytics with Python.
Our approach to designing the Quant Platform is inspired by Bruce Lee's martial arts philosophy:
"Absorb what is useful, discard what is not, and add what is uniquely your own."
|Analyze||browser-based notebooks for interactive data analytics with e.g. Python, R, Julia|
|Visualize||easily visualize your data – both statically and interactively (D3.js)|
|Edit & Develop||edit all typical code files within the browser (e.g. Python, HTML, CSS)|
|Use Data||easily upload, download and display your data, files, etc.|
|Use Dropbox||full Dropbox integration for easy file sharing, backup, etc.|
|Use the Shell||use all Linux tools that you love (e.g. Git, Vim, htop) in the browser|
|Get Financial||benefit from libraries for advanced financial & risk analytics|
|Publish & Share||publish your documents & files, deploy your Web applications|
|Collaborate||collaborate within your company, define projects, rights & roles|
Profit from our expertise: our team members are experts in Python, Quant Finance,
Python for Excel, modern analytics infrastructures and more.